Hi,
That is a good question. When data is exported from CSV to Linux, any character that cannot be transformed is replaced by ?. That question mark is not actually the expected “?” :) So the only way I can get rid of it is by drooping the first character using substring(1). I checked I did the same in Hive sql The actual field in CSV is “£2,500.oo” that translates into “?2,500.00” HTH Dr Mich Talebzadeh LinkedIn https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> NOTE: The information in this email is proprietary and confidential. This message is for the designated recipient only, if you are not the intended recipient, you should destroy it immediately. Any information in this message shall not be understood as given or endorsed by Peridale Technology Ltd, its subsidiaries or their employees, unless expressly so stated. It is the responsibility of the recipient to ensure that this email is virus free, therefore neither Peridale Technology Ltd, its subsidiaries nor their employees accept any responsibility. From: Chandeep Singh [mailto:c...@chandeep.com] Sent: 20 February 2016 13:47 To: Mich Talebzadeh <m...@peridale.co.uk> Cc: user @spark <user@spark.apache.org> Subject: Re: Checking for null values when mapping Looks like you’re using substring just to get rid of the ‘?’. Why not use replace for that as well? And then you wouldn’t run into issues with index out of bound. val a = "?1,187.50" val b = "" println(a.substring(1).replace(",", "”)) —> 1187.50 println(a.replace("?", "").replace(",", "”)) —> 1187.50 println(b.replace("?", "").replace(",", "”)) —> No error / output since both ‘?' and ‘,' don’t exist. On Feb 20, 2016, at 8:24 AM, Mich Talebzadeh <m...@peridale.co.uk <mailto:m...@peridale.co.uk> > wrote: I have a DF like below reading a csv file val df = HiveContext.read.format("com.databricks.spark.csv").option("inferSchema", "true").option("header", "true").load("/data/stg/table2") val a = df.map(x => (x.getString(0), x.getString(1), x.getString(2).substring(1).replace(",", "").toDouble,x.getString(3).substring(1).replace(",", "").toDouble, x.getString(4).substring(1).replace(",", "").toDouble)) For most rows I am reading from csv file the above mapping works fine. However, at the bottom of csv there are couple of empty columns as below [421,02/10/2015,?1,187.50,?237.50,?1,425.00] [,,,,] [Net income,,?182,531.25,?14,606.25,?197,137.50] [,,,,] [year 2014,,?113,500.00,?0.00,?113,500.00] [Year 2015,,?69,031.25,?14,606.25,?83,637.50] However, I get a.collect.foreach(println) 16/02/20 08:31:53 ERROR Executor: Exception in task 0.0 in stage 123.0 (TID 161) java.lang.StringIndexOutOfBoundsException: String index out of range: -1 I suspect the cause is substring operation say x.getString(2).substring(1) on empty values that according to web will throw this type of error The easiest solution seems to be to check whether x above is not null and do the substring operation. Can this be done without using a UDF? Thanks Dr Mich Talebzadeh LinkedIn https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> NOTE: The information in this email is proprietary and confidential. This message is for the designated recipient only, if you are not the intended recipient, you should destroy it immediately. Any information in this message shall not be understood as given or endorsed by Peridale Technology Ltd, its subsidiaries or their employees, unless expressly so stated. It is the responsibility of the recipient to ensure that this email is virus free, therefore neither Peridale Technology Ltd, its subsidiaries nor their employees accept any responsibility.
